this post was submitted on 05 Sep 2025
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[–] AceBonobo@lemmy.world 16 points 1 day ago (5 children)

From reading the study, it seems like the workers didn't even use it. Less than 2 queries per day? A third of participants used it once per week?

This is a study of resistance to change or of malicious compliance. Or maybe it's a study of how people react when you're obviously trying to take their jobs.

[–] thehatfox@lemmy.world 15 points 1 day ago (1 children)

The figures are the averages for the full trial period.

So it’s possible they were making more queries at the start of the trial, but then mostly stopped when if they found using Copilot was more a hindrance than a help.

[–] elvith@feddit.org 11 points 1 day ago

I have a Copilot license at work. We also have an in house „ChatGPT clone“ - basically a private deployment of that model so that (hopefully) no input data gets used to train the models.

There are some usecases that are neat. E.g. we’re a multilingual team, so having it transcribe, translate (and summarize) a meeting so that it’s easier to finalize and check a protocol. Coming back from a vacation and just ask it summarize everything you missed for a specific area of your work (to get on track before just checking everything chronologically) can be nice, too.

Also we finetuned a model to assist us in writing and explaining code from a domain specific language with many strange quirks that we use for a tool and that has poor support from off the shelf LLMs.

But all of these cases have one thing in common: They do not replace the actual work and are things that will be checked anyways (even the code one, as we know there are still many flaws, but it’s usually great at explaining the code now - not so at writing it). It’s just a convenient method to check your own work - and LLM hallucinations will usually be caught anyway.

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